Machine Learning Engineer (Computer vision)

Posted 13 Days Ago
Be an Early Applicant
Bulgaria
3-5 Years Experience
Artificial Intelligence • Edtech
The Role
The Machine Learning Engineer will participate in research and development of computer vision models, deploying and optimizing models for products, developing data collection pipelines, and validating algorithm performance. Responsibilities include increasing accuracy of machine learning algorithms and providing bug-fixing support.
Summary Generated by Built In

Constructor is an all-in-one platform for education and research. With expertise in machine intelligence and data science, Constructor is built to cater to the needs of schools, higher education, corporate training, alternative credentials, and professional sports, offering solutions for teaching and administration, learning and research. 

From infrastructure to applications, Constructor elevates learning experiences, empowers educators, and drives research breakthroughs.

Our headquarter is situated in Switzerland. Also we have entities in Germany, Bulgaria, Serbia, Turkey, and Singapore.

DUTIES & RESPONSIBILITIES: 

  • Participating in research and development process of computer vision models (detection, segmentation, recognition, generative models)
  • Deploying of computer vision machine learning models in products
  • Optimizing computer vision machine learning models
  • Multimodality approaches (text, images)
  • Increasing accuracy and performance of computer vision machine learning algorithms
  • Developing pipelines for data collection and preparation
  • Algorithms quality validation and monitoring
  • Developing services for machine learning models launch
  • Bug fixing support

QUALIFICATION & EXPERIENCE:

  • Master’s degree in Computer Science, Mathematics, Physics or similar field.
  • 3+ years of machine learning models developing experience.
  • Solid knowledge of Python.
  • Experience with modern deep learning frameworks like PyTorch, Tensorflow.
  • Knowledge of main methods of supervised learning (regression, classification), unsupervised learning (cluster analysis, dimensionality reduction), machine learning models validation, deep learning models optimization.
  • Experience in algorithms developing for image classification, object detection, object tracking, segmentation.
  • Experience in computer vision generative approaches (GAN, VAE, Diffusion models).
  • Experience with MLOps tools (CVAT, Label studio, DVC, MLflow, Weights & Biases).
  • Experience in developing cloud service Azure/AWS.
  • Experience with Git, Linux.
  •  
What We Offer

Constructor fosters equal opportunity for people of all backgrounds and identities. We are led by a gender-balanced board committed to building a diverse and inclusive organization where everyone can become their best self. We do not discriminate based on age, disability, gender identity, sexual orientation, ethnicity, race, religion or belief, parental and family status, or other protected characteristics. We welcome applications from women, men and non-binary candidates of all ethnicities and socio-economic backgrounds. We encourage people belonging to underrepresented groups to apply.


Top Skills

Python
The Company
Schaffhausen
133 Employees
On-site Workplace

What We Do

Constructor group is a global institution dedicated to creating knowledge through science, education, and technology. Our integrated, self-sustainable ecosystem focuses on the five fundamental technology needs expected to contribute to solving the current challenges of the world: general intelligence, quantum technology, intelligent materials, hybrid reality, and life engineering.Our knowledge ecosystem combines extensive education offers covering the entire learning lifecycle from K-12 to post-graduate programs and courses for executives, highly efficient research capacities, and commercial operations for our technology breakthroughs.The Constructor ecosystem comprises Constructor University, a non-profit, research-oriented private university located in Bremen, Germany, and an institute in Schaffhausen.Several ventures market our technology innovations: Alemira and Learning focus on advanced solutions in Educational Technology, executive education, and consulting services. Rolos delivers a platform boosting research productivity and develops MI for robotics and driverless mobility. Capital and Start Garden further strengthen our ecosystem by offering funding and start-up incubation capacities.

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